Intelligent agricultural management system for sweet sorghum cultivation

Abstract

This invention provides a smart agricultural management system for sweet sorghum cultivation, comprising six modules: environmental sensing, data analysis, automatic irrigation and fertilization, remote monitoring, specialized seedlings, and soil conditioners. The system integrates sensors for soil moisture, pH, conductivity, and nitrogen, phosphorus, and potassium, and analyzes environmental data through AI algorithms to generate optimal irrigation and fertilization parameters, enabling precise water and fertilizer control. It uses salt-tolerant sweet sorghum seedlings combined with beneficial microbial soil conditioners, making it suitable for saline or marginal lands. Remote monitoring and parameter adjustment are achieved through wireless communication technology. Compared to traditional farming methods, it can save 50% of water, reduce chemical fertilizers by 30%, and increase yield by 20%, achieving the dual goals of sustainable development and efficient cultivation management in smart agriculture.

Claims

1. A smart agricultural management system for sweet sorghum cultivation, comprising: an environmental sensing module installed in the sweet sorghum planting area, including a soil moisture sensor for real-time detection of soil moisture content; a pH sensor for monitoring changes in soil pH; a conductivity sensor for assessing soil salinity; and nitrogen, phosphorus, and potassium nutrient element sensors for measuring soil fertility; a data analysis and processing module electrically connected to the environmental sensing module, equipped with a microprocessor and a computing unit, for receiving data from the environmental sensing module and analyzing soil environment and crop growth conditions through built-in algorithms to generate optimized irrigation and fertilization parameters; and an automated irrigation and fertilization module electrically connected to the data analysis and processing module, comprising: An electronically controlled water valve unit receives control signals from the data analysis and processing module to open or close the irrigation water source for the corresponding area. A fertilization pump device receives fertilizer concentration and time parameters calculated by a data analysis and processing module, and coordinates with the opening sequence of an electronically controlled water valve unit to achieve synchronous and precise fertilization control; a zoned water and fertilizer distribution pipeline system, which constitutes a physical delivery path, guides water and fertilizer released by at least one electronic water valve and at least one fertilization pump to each planting area, and automatically executes corresponding irrigation and fertilization actions according to the parameters provided by the data analysis and processing module; a wireless communication and remote monitoring module is connected to the environmental sensing module and the data analysis and processing module, and provides real-time data feedback, remote operation, historical data query, and system parameter adjustment by integrating a low-power wireless transmission technology application to a mobile device; a specially bred sweet sorghum seedling with salt and alkali tolerance and a root sodium ion filtration mechanism, effectively improving its adaptability to saline soil, is planted in a suitable soil environment, and automatically irrigates and fertilizes using the automated irrigation and fertilization module; A biological soil conditioner containing beneficial microbial flora with salt tolerance and organic components that can improve soil structure is mixed and added to the automated irrigation and fertilization module in a fixed ratio to improve soil health and promote crop growth.

2. The intelligent agricultural management system for sweet sorghum cultivation as described in claim 1, wherein the automated irrigation and fertilization module has a multi-regional independent control mechanism, and can individually adjust the water volume and fertilizer supply ratio according to the soil conditions of different blocks.

3. The intelligent agricultural management system for sweet sorghum cultivation as described in claim 1, wherein, The wireless communication and remote monitoring module further includes anomaly alert function, water-saving and fertilizer-saving statistical analysis function, and agricultural operation schedule reminder function.

4. The intelligent agricultural management system for sweet sorghum cultivation as described in claim 1, wherein, This data analysis and processing module integrates an AI Internet of Things architecture and combines soil sensors and drip irrigation algorithms to automatically and accurately control irrigation and fertilization processes based on real-time environmental parameters, achieving benefits such as water saving of up to 50%, reduction of chemical fertilizer use by 30%, and increase of crop yield per unit area by 20%.

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